Senior manager-Machine Learning
Accenture
Senior manager-Machine Learning
Job Description
We are:
Accenture’s Data & AI practice, the people who love using data to tell a story. We’re also the world’s largest team of data scientists, data engineers, and experts in machine learning and AI. A great day for us? Solving big problems using the latest tech, serious brain power, and deep knowledge of just about every industry. We believe a mix of data, analytics, automation, and responsible AI can do almost anything—spark digital metamorphoses, widen the range of what humans can do, and breathe life into smart products and services. Want to join our crew of sharp analytical minds?
You are:
An experienced senior consulting executive who has built and delivered transformative data & AI projects and solutions in the Financial Services and/or Insurance industry. As a data and AI expert with strong analytical and statistical skills, you know how to take massive amounts of data and find the insights our clients need to help their companies do more.
The work:
Drive business strategy discussions on how to leverage Data, AI, model development, or model validation to create improved business results
Develop custom prescriptive and AI/ML models based on in-depth understanding of underlying data, data structures, algorithms, regulatory requirements, and business problems to ensure analytics deliverables meet client needs
Prototype and demonstrate products for clients in customer or Accenture environments
Partner with solution providers to deliver solutions augmented with data science and tailored for clients
Drive innovation with Generative AI
Summarize and present data science -backed results and recommendations to executive audiences
Travel may be required for this role. The amount of travel will vary from 0 to 100% depending on business need and client requirements.
Qualifications
Here’s what you need:
Minimum of 10 years’ experience of demonstrated results in Data &AI based projects
Minimum of 8 years’ expertise with advanced statistical modeling, AI, machine learning, optimization modeling, data mining, unstructured data analytics in corporate and/or academic research environments
Minimum of 8 years' experience developing machine learning methods, including familiarity with techniques in clustering, regression, optimization, recommendation, neural networks, and others
Minimum of 8 years’ experience creating and executing presentations to executive-level audiences in corporate and/or academic research environments
Minimum of 3 years' experience developing solutions on and administering the Palantir Foundry platform.
Bachelor’s degree in quantitative field, Engineering, Computer Science, Physics, Applied Mathematics, Statistics, Economics, or related fields
Bonus points if:
2 years of prior experience in model validation or model audit
2 years of prior experience in a regulatory agency (FRB, OCC, FDIC, SEC) in a quantitative or analytical supervision role
Prior experience with credit risk, market risk, operational risk, PPNR, AML/KYC, fraud models
10 years of experience working in a consulting capacity
Experience managing and leading teams
Business development experience
Familiarity with using cloud services (AWS, Google, Azure) or Big Data tools (Hadoop, Hive, Spark) in data science solutions
Demonstrable knowledge in artificial intelligence, machine learning, data science, and other relevant technical domains; and possess a blend of advanced analytical capabilities and consulting expertise that will create value and insights for our clients
Locations
Life at Accenture
Work where you're inspired to explore your passions and where your talents are nurtured and cultivated. Innovate with leading-edge technologies on some of the coolest projects you can imagine.
Training and Development
Take time away to learn and learn all the time in our regional learning hubs, connected classrooms, online courses and learning boards.
Work Environment
Be your best every day in a work environment that helps drive innovation in everything you do.
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